Research Of Localization Algorithm For Mobile Nodes Based On RSSI And TDOA In Wireless Sensor Networks

Since twentieth Century90years indoor positioning system research and development,WSN gradually come into people’s lives, showing broad application prospect in the field ofintelligent Home Furnishing, target tracking. It contains a variety of disciplines in technology,the sensor technology, embedded technology, wireless communication technology and so on,detection of the surrounding environment timely, and monitoring data will be sent to the Sinknode through multi hop relaying mode, and eventually transferred to the remote center forcentralized treatment. With the development of science and technology, the function of thesensor is becoming more and more perfect, the wireless sensor network with a variety ofadvantages gradually more lower cost, more small volume, has been widely used in manyfields.Aiming at the problem of wireless sensor network node energy Limited, communicationsmall radius, in order to improve the tracking accuracy, and as far as possible to reduce theenergy consumption of nodes and prolong the network lifetime, put forward the non uniformclustering mobile node localization algorithm. Affect the lifetime of the network and datatransmission. In this paper, in the cluster of wireless sensor node of all, This clustering methodto cluster near the Sink grid nodes in the network cluster head can better participate in datatransmission, improve the performance of the network. Secondly, in-depth study thepositioning method based on signal strength (RSSI) ranging and time difference of arrival(TDOA) ranging, TDOA and RSSI combination ranging algorithm using TDOA as thepreferred location of beacon nodes, The selection of RSSI location beacon nodes can be added,when the beacon nodes return value is insufficient. Solve the localization on TDOA locationfor the low success rate of defects, and ensure the accuracy.To build a platform for wireless sensor networks using OMNET++and Algorithmsimulation validation of non uniform clustering location. The method can guarantee thepositioning accuracy while saving the network energy consumption, prolong the life span ofthe network.